RAVISH RAWAL - Technical Lead, Payments Data Science - TikTok | Himalayas
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RAVISH RAWAL

@ravishrawal

Data Science leader specializing in AI and machine learning.

United States

What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth in AI and machine learning.

I am a Data Science and Machine Learning leader at TikTok, where I merge cutting-edge AI with speed and explainability to combat financial crime. My journey has been marked by significant achievements, including building foundational machine learning capabilities that have prevented over $1 billion in nefarious transactions. I thrive on the challenge of designing strategic roadmaps and orchestrating execution across various teams to drive down fraud rates while ensuring a seamless user experience.

Before TikTok, I served as the Chief Technological Officer at DeadAnt Media, where I developed robust financial models and launched an automated data pipeline that delivered real-time insights. My experience at Latch as a Senior Data & ML Engineer allowed me to work closely with C-suite executives to build a complex SQL-based analytics platform, significantly reducing balance sheet liabilities. I am passionate about leveraging technology to create impactful solutions and continuously seek opportunities to innovate in the data science field.

Experience

Work history, roles, and key accomplishments

TikTok logoTI
Current

Technical Lead, Payments Data Science

TikTok

Jan 2023 - Present (2 years 5 months)

Leading a team of machine learning engineers to develop foundational capabilities for Payments Risk and Anti-Money Laundering, preventing over $1 Billion in fraudulent transactions. Responsible for the design and implementation of machine learning models and MLOps systems.

Education

Degrees, certifications, and relevant coursework

Columbia University logoCU

Columbia University

Master of Science, Computer Science

2019 - 2021

Grade: 3.83

Completed a Master of Science in Computer Science with a focus on Artificial Intelligence and Machine Learning. Relevant courses included Artificial Intelligence, Deep Learning, Databases, and Cloud Computing.

Fullstack Academy logoFA

Fullstack Academy

Certificate, Software Engineering

2019 - 2019

Completed a Software Engineering Immersive program, focusing on Data Structures, Algorithms, and Web Development with Node and React.

Columbia University logoCU

Columbia University

Bachelor of Science, Mechanical Engineering

2012 - 2016

Grade: 3.82

Earned a Bachelor of Science in Mechanical Engineering, graduating Cum Laude with honors, and was recognized on the Dean’s List and as a member of the Pi Tau Sigma Honour Society.

Tech stack

Software and tools used professionally

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